Read the equation
Bₜ names the behavior measured from the model saved at checkpoint t. To use it in the proposed study, the task, prompts, outcomes, and evaluation procedure must be fixed. A saved weight matrix by itself does not provide this behavioral observation.
Terms & definitions
| Term | Meaning in this source |
|---|---|
| B_t | Independently measured checkpoint behavior |
How it works
Read the definition from its right-hand expression to the quantity on the left. Its surrounding source records the intended input, state, or parameter context. Where the source leaves an operation unspecified, this page preserves that gap.
Assumptions & limits
Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.
Original context
Read the surrounding source passage
8. The experiment that now directly tests the proposed equation The next experiment should use one open model family and save dense checkpoints. At each checkpoint, the experiment should measure learned behavior B_t, a mechanistic internal state Z_t, grounded declaration D_t, and downstream persistence P_t. B_t = independently measured learned behavior at checkpoint t Z_t = internal representation / steering-direction coordinate D_t = grounded declaration score about B_t Δ_t = distance from the pre-transition reference state
Exact original notation
B_t = independently measured learned behavior at checkpoint t
Sources & provenance
B_t = independently measured learned behavior at checkpoint t
B_t = independently measured learned behavior at checkpoint t